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Cross-Domain Deception Dataset

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IEEE2026-04-17 收录
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https://ieee-dataport.org/documents/cross-domain-deception-dataset
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The Cross-Domain Deception Dataset (CD3) contains frame-level features extracted from video data using OpenFace and OpenPose to support research in deception detection through facial expressions, facial action units, body and hand gestures, and gaze coordinates. Using a commercial off-the-shelf laptop and Microsoft Teams, we collected video data of 45 participants completing mock interviews where they answered questions related to biographical information, academic success, and well-being across two sessions. The dataset includes features from 1270 truthful and 587 deceptive clips of participant responses to interview questions. CD3 enables future research exploration to inform the development of robust deception models for accurate deception detection in novel domains such as well-being. 
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